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A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
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Sohail, Anabia, Khan, Asifullah, Wahab, Noorul, Zameer, Aneela and Khan, Saranjam (2021) A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images. Scientific Reports, 11 (1). 6215. doi:10.1038/s41598-021-85652-1
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Official URL: https://doi.org/10.1038/s41598-021-85652-1
Abstract
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based detection of mitotic nuclei is a significant overhead and necessitates automation. This work proposes deep CNN based multi-phase mitosis detection framework “MP-MitDet” for mitotic nuclei identification in breast cancer histopathological images. The workflow constitutes: (1) label-refiner, (2) tissue-level mitotic region selection, (3) blob analysis, and (4) cell-level refinement. We developed an automatic label-refiner to represent weak labels with semi-sematic information for training of deep CNNs. A deep instance-based detection and segmentation model is used to explore probable mitotic regions on tissue patches. More probable regions are screened based on blob area and then analysed at cell-level by developing a custom CNN classifier “MitosRes-CNN” to filter false mitoses. The performance of the proposed “MitosRes-CNN” is compared with the state-of-the-art CNNs that are adapted to cell-level discrimination through cross-domain transfer learning and by adding task-specific layers. The performance of the proposed framework shows good discrimination ability in terms of F-score (0.75), recall (0.76), precision (0.71) and area under the precision-recall curve (0.78) on challenging TUPAC16 dataset. Promising results suggest good generalization of the proposed framework that can learn characteristic features from heterogenous mitotic nuclei.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science > Computer Science | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Journal or Publication Title: | Scientific Reports | ||||||
| Publisher: | Nature Publishing Group UK | ||||||
| ISSN: | 2045-2322 | ||||||
| Official Date: | 18 March 2021 | ||||||
| Dates: |
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| Volume: | 11 | ||||||
| Number: | 1 | ||||||
| Article Number: | 6215 | ||||||
| DOI: | 10.1038/s41598-021-85652-1 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access |
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